Motor Ensembles Research Articles

Ensemble and single-molecule dynamics of IFT dynein in Caenorhabditis elegans cilia

Cytoplasmic dyneins drive microtubule-based, minus-end directed transport in eukaryotic cells. Whereas cytoplasmic dynein 1 has been widely studied, IFT dynein has received far less attention. Here, we use fluorescence microscopy of labelled motors in living Caenorhabditis elegans to investigate IFT-dynein motility at the ensemble and single-molecule level. We find that while the kinesin composition of motor ensembles varies along the track, the amount of dynein remains relatively constant. Remarkably, this does not result in directionality changes of cargo along the track, as has been reported for other opposite-polarity, tug-of-war motility systems. At the single-molecule level, IFT-dynein trajectories reveal unexpected dynamics, including diffusion at the base, and pausing and directional switches along the cilium. Stochastic simulations show that the ensemble IFT-dynein distribution depends upon the probability of single-motor directional switches. Our results provide quantitative insight into IFT-dynein dynamics in vivo, shedding light on the complex functioning of dynein motors in general.

Force and Power of a Synthetic Myosin II-Based Machine

The function as a collective motor of skeletal muscle myosin II is studied in vitro with a synthetic bio-machine, consisting of an ensemble of myosin motors interacting with a single actin filament attached with the correct polarity to a bead trapped in the focus of a Dual Laser Optical Tweezers (DLOT, Bianco et al. Biophys. J.101:866-874, 2011). The motor ensemble provides the condition for cyclic interactions with the actin filament, allowing the development of steady force and filament sliding. The mechanical outputs of the machine are measured by means of the DLOT, which acts as a force transducer (range 0.5-200 pN and resolution ∼0.3 pN), and a piezoelectric nano-positioner carrying the support for the myosin motors, which acts as a length transducer (range 1-75.000 nm and resolution ∼1 nm). Here is reported the performance of a first version of the machine, consisting of an ensemble of myosin motors purified from frog skeletal muscle randomly adsorbed on the surface of a chemically etched single-mode optical fibre with diameter 4 µm. Isometric and isotonic contractions are reproduced by the motor ensemble in solution with physiological [ATP] (2 mM) and temperature 21 °C. Following a drop in force from the maximum isometric value (F0) to a lower value (F), the actin filament slides at a constant velocity (V) which is larger the smaller the force, as expected from the in vivo force-velocity relation. Up to five F-V points for each interaction can be determined, allowing the definition of the maximum power at F ∼0.3 F0 (V ∼2 µm/s) and demonstrating the unequalled ability of the synthetic machine to define the power of native and engineered myosin II motors from striated muscle. Supported by IIT-SEED, Genova and ECRF, 2015 (Italy).

Force percolation of contractile active gels.

Living systems provide a paradigmatic example of active soft matter. Cells and tissues comprise viscoelastic materials that exert forces and can actively change shape. This strikingly autonomous behavior is powered by the cytoskeleton, an active gel of semiflexible filaments, crosslinks, and molecular motors inside cells. Although individual motors are only a few nm in size and exert minute forces of a few pN, cells spatially integrate the activity of an ensemble of motors to produce larger contractile forces (∼nN and greater) on cellular, tissue, and organismal length scales. Here we review experimental and theoretical studies on contractile active gels composed of actin filaments and myosin motors. Unlike other active soft matter systems, which tend to form ordered patterns, actin-myosin systems exhibit a generic tendency to contract. Experimental studies of reconstituted actin-myosin model systems have long suggested that a mechanical interplay between motor activity and the network's connectivity governs this contractile behavior. Recent theoretical models indicate that this interplay can be understood in terms of percolation models, extended to include effects of motor activity on the network connectivity. Based on concepts from percolation theory, we propose a state diagram that unites a large body of experimental observations. This framework provides valuable insights into the mechanisms that drive cellular shape changes and also provides design principles for synthetic active materials.

Cargo rigidity affects the sensitivity of dynein ensembles to individual motor pausing.

Cytoplasmic dynein is a minus-end directed microtubule-based motor protein that drives intracellular cargo transport in eukaryotic cells. Although many intracellular cargos are propelled by small groups of dynein motors, the biophysical mechanisms governing ensemble motility remain largely unknown. To investigate the emergent motility of motor ensembles, we have designed a programmable DNA origami synthetic cargo "chassis" enabling us to control the number of dynein motors in the ensemble and vary the rigidity of the cargo chassis itself. Using total internal reflection fluorescence microscopy, we have observed dynein ensembles transporting these cargo chassis along microtubules in vitro. We find that ensemble motility depends on cargo rigidity: as the number of motors increases, ensembles transporting flexible cargos move comparatively faster than a single motor, whereas ensembles transporting rigid cargos move slower than a single motor. To explain this, we show that ensembles connected through flexible cargos are less sensitive to the pauses of individual motors within the ensemble. We conclude that cargo rigidity plays an important role in communicating and coordinating the states of motors, and consequently in the subsequent mechanisms of collective motility. The insensitivity of ensemble-driven cargos to the pausing of individual motors may contribute to the robustness and versatility of intracellular cargo transport. © 2016 Wiley Periodicals, Inc.

Interrogating Emergent Transport Properties for Molecular Motor Ensembles: A Semi-analytical Approach.

Intracellular transport is an essential function in eucaryotic cells, facilitated by motor proteins—proteins converting chemical energy into kinetic energy. It is understood that motor proteins work in teams enabling unidirectional and bidirectional transport of intracellular cargo over long distances. Disruptions of the underlying transport mechanisms, often caused by mutations that alter single motor characteristics, are known to cause neurodegenerative diseases. For example, phosphorylation of kinesin motor domain at the serine residue is implicated in Huntington’s disease, with a recent study of phosphorylated and phosphomimetic serine residues indicating lowered single motor stalling forces. In this article we report the effects of mutations of this nature on transport properties of cargo carried by multiple wild-type and mutant motors. Results indicate that mutants with altered stall forces might determine the average velocity and run-length even when they are outnumbered by wild type motors in the ensemble. It is shown that mutants gain a competitive advantage and lead to an increase in the expected run-length when the load on the cargo is in the vicinity of the mutant’s stalling force or a multiple of its stalling force. A separate contribution of this article is the development of a semi-analytic method to analyze transport of cargo by multiple motors of multiple types. The technique determines transition rates between various relative configurations of motors carrying the cargo using the transition rates between various absolute configurations. This enables a computation of biologically relevant quantities like average velocity and run-length without resorting to Monte Carlo simulations. It can also be used to introduce alterations of various single motor parameters to model a mutation and to deduce effects of such alterations on the transport of a common cargo by multiple motors. Our method is easily implementable and we provide a software package for general use.

Cargo Transport by Two Coupled Myosin Va Motors on Actin Filaments and Bundles

Myosin Va (myoVa) is a processive, actin-based molecular motor essential for intracellular cargo transport. When a cargo is transported by an ensemble of myoVa motors, each motor faces significant physical barriers and directional challenges created by the complex actin cytoskeleton, a network of actin filaments and actin bundles. The principles that govern the interaction of multiple motors attached to the same cargo are still poorly understood. To understand the mechanical interactions between multiple motors, we developed a simple in vitro model in which two individual myoVa motors labeled with different-colored Qdots are linked via a third Qdot that acts as a cargo. The velocity of this two-motor complex was reduced by 27% as compared to a single motor, whereas run length was increased by only 37%, much less than expected from multimotor transport models. Therefore, at low ATP, which allowed us to identify individual motor steps, we investigated the intermotor dynamics within the two-motor complex. The randomness of stepping leads to a buildup of tension in the linkage between motors—which in turn slows down the leading motor—and increases the frequency of backward steps and the detachment rate. We establish a direct relationship between the velocity reduction and the distribution of intermotor distances. The analysis of run lengths and dwell times for the two-motor complex, which has only one motor engaged with the actin track, reveals that half of the runs are terminated by almost simultaneous detachment of both motors. This finding challenges the assumptions of conventional multimotor models based on consecutive motor detachment. Similar, but even more drastic, results were observed with two-motor complexes on actin bundles, which showed a run length that was even shorter than that of a single motor.

KIF5C S176 Phosphorylation Regulates Microtubule Binding and Transport Efficiency in Mammalian Neurons.

Increased phosphorylation of the KIF5 anterograde motor is associated with impaired axonal transport and neurodegeneration, but paradoxically also with normal transport, though the details are not fully defined. JNK phosphorylates KIF5C on S176 in the motor domain; a site that we show is phosphorylated in brain. Microtubule pelleting assays demonstrate that phosphomimetic KIF5C(1-560)S176D associates weakly with microtubules compared to KIF5C(1-560)WT. Consistent with this, 50% of KIF5C(1-560)S176D shows diffuse movement in neurons. However, the remaining 50% remains microtubule bound and displays decreased pausing and increased bidirectional movement. The same directionality switching is observed with KIF5C(1-560)WT in the presence of an active JNK chimera, MKK7-JNK. Yet, in cargo trafficking assays where peroxisome cargo is bound, KIF5C(1-560)S176D-GFP-FRB transports normally to microtubule plus ends. We also find that JNK increases the ATP hydrolysis of KIF5C in vitro. These data suggest that phosphorylation of KIF5C-S176 primes the motor to either disengage entirely from microtubule tracks as previously observed in response to stress, or to display improved efficiency. The final outcome may depend on cargo load and motor ensembles.

Collective dynamics of diffusiophoretic motors on a filament.

A variety of uses has been proposed for synthetic chemically powered nanomotors that exploit their autonomous directed motion. The collective dynamics of these and other active particles display features that differ from their equilibrium analogs. We investigate the collective dynamics of chemically powered diffusiophoretic motors attached to a filament. Rotational Brownian motion is reduced substantially when a motor is attached to a filament and this improves motor performance. When many motors are attached to the filament, structural and dynamical correlations that may extend over long distances arise. While some features of these correlations are due to packing on the filament, there are nonequilibrium effects that are due to the local concentration gradients of reactive species produced by all motors. As the motor density on the filament increases beyond a critical value, the average motor velocity projected along motor internuclear axis switches from forward to backward directions. Knowledge of the collective dynamics of motors on filaments should prove useful when designing ensembles of synthetic motors to perform tasks such as cargo transport involving delivery of material to specific regions in complex media.

Myosin Va Motor Teams Navigate Vesicle Cargos through 3D Actin Filament Intersections

Myosin Va (MyoVa) motor teams collectively move intracellular cargo through a complex, three dimensional (3D), actin meshwork. To address how MyoVa motors navigate this physical challenge, we imaged fluorescently labeled 350nm synthetic lipid vesicles, bound with ∼10 MyoVa HMM motors, moving through 3D actin filament intersections strung between 3µm beads. Intersections were formed by filaments being ∼90 degrees to one another and separated by 30-250nm. As the vesicle surface contacted the intersecting actin filaments, two regions of potential motor engagement were created on the vesicle surface. Geometric constraints limited the engaged motor number at each contact point to no more than 3, as confirmed by laser trap stall force measurements. These points of vesicle-actin filament contact resulted in an effective tug of war between two motor teams that were physically separated on the vesicle surface. The vesicle's directional outcome at an intersection was visualized using high spatial and temporal 3D super resolution imaging. For vesicles that physically contacted both actin filaments at the intersection, 55% of vesicles continued straight through the intersection, 35% switched filaments, while only 10% terminated. These outcomes were successfully simulated by a model in which the directional outcome was dependent on the interfilament gap, the vesicle's azimuthal approach angle to the intersection, the stochastic attachment and detachment of motors within a team (i.e. a team's force generation), and the Brownian motion of the vesicle while attached to the actin filaments. All of these physical factors contributed to which motor ensemble won the tug of war at the intersection and thus the vesicle's directional outcome. This simplified biomimetic system and resultant data provide an experimental framework for understanding how MyoVa motor teams navigate their cargo through evermore complex 3D actin networks that exist within cells.

Kinesin-5: A Team Is Just the Sum of Its Parts

How the cell builds a spindle remains an open question. In this issue of Developmental Cell, Shimamoto, Forth, and Kapoor (2015) show that kinesin-5 motor ensembles can exert sliding forces that scale with microtubule overlap length. This behavior could allow microtubule architecture-dependent modulation of force and contribute to spindle self-organization.

Mechanical coordination in motor ensembles revealed using engineered artificial myosin filaments.

The sarcomere of muscle is composed of tens of thousands of myosin motors that self-assemble into thick filaments and interact with surrounding actin-based thin filaments in a dense, near-crystalline hexagonal lattice. Together, these actin-myosin interactions enable large-scale movement and force generation, two primary attributes of muscle. Research on isolated fibres has provided considerable insight into the collective properties of muscle, but how actin-myosin interactions are coordinated in an ensemble remains poorly understood. Here, we show that artificial myosin filaments, engineered using a DNA nanotube scaffold, provide precise control over motor number, type and spacing. Using both dimeric myosin V- and myosin VI-labelled nanotubes, we find that neither myosin density nor spacing has a significant effect on the gliding speed of actin filaments. This observation supports a simple model of myosin ensembles as energy reservoirs that buffer individual stochastic events to bring about smooth, continuous motion. Furthermore, gliding speed increases with cross-bridge compliance, but is limited by Brownian effects. As a first step to reconstituting muscle motility, we demonstrate human β-cardiac myosin-driven gliding of actin filaments on DNA nanotubes.

Isoforms Confer Characteristic Force Generation and Mechanosensation by Myosin II Filaments

Myosin II isoforms with varying mechanochemistry and filament size interact with filamentous actin (F-actin) arrays to generate contractile forces in muscle and nonmuscle cells. How myosin II force production is shaped by isoform-specific motor properties and environmental stiffness remains poorly understood. Here, we used computer simulations to analyze force production by an ensemble of myosin motors against an elastically tethered actin filament. We found that force output depends on two timescales: the duration of F-actin attachment, which varies sharply with the ensemble size, motor duty ratio, and external load; and the time to build force, which scales with the ensemble stall force, gliding speed, and environmental stiffness. Although force-dependent kinetics were not required to sense changes in stiffness, the myosin catch bond produced positive feedback between the attachment time and force to trigger switch-like transitions from transient attachments, generating small forces, to high-force-generating runs. Using parameters representative of skeletal muscle myosin, nonmuscle myosin IIB, and nonmuscle myosin IIA revealed three distinct regimes of behavior, respectively: 1) large assemblies of fast, low-duty ratio motors rapidly build stable forces over a large range of environmental stiffness; 2) ensembles of slow, high-duty ratio motors serve as high-affinity cross-links with force buildup times that exceed physiological timescales; and 3) small assemblies of low-duty ratio motors operating at intermediate speeds are poised to respond sharply to changes in mechanical context—at low force or stiffness, they serve as low-affinity cross-links, but they can transition to force production via the positive-feedback mechanism described above. Together, these results reveal how myosin isoform properties may be tuned to produce force and respond to mechanical cues in their environment.

Nesprins anchor kinesin-1 motors to the nucleus to drive nuclear distribution in muscle cells

During skeletal muscle development, nuclei move dynamically through myotubes in a microtubule-dependent manner, driven by the microtubule motor protein kinesin-1. Loss of kinesin-1 leads to improperly positioned nuclei in culture and in vivo. Two models have been proposed to explain how kinesin-1 functions to move nuclei in myotubes. In the cargo model, kinesin-1 acts directly from the surface of the nucleus, whereas in an alternative model, kinesin-1 moves nuclei indirectly by sliding anti-parallel microtubules. Here, we test the hypothesis that an ensemble of Kif5B motors acts from the nuclear envelope to distribute nuclei throughout the length of syncytial myotubes. First, using an inducible dimerization system, we show that controlled recruitment of truncated, constitutively active kinesin-1 motors to the nuclear envelope is sufficient to prevent the nuclear aggregation resulting from depletion of endogenous kinesin-1. Second, we identify a conserved kinesin light chain (KLC)-binding motif in the nuclear envelope proteins nesprin-1 and nesprin-2, and show that recruitment of the motor complex to the nucleus via this LEWD motif is essential for nuclear distribution. Together, our findings demonstrate that the nucleus is a kinesin-1 cargo in myotubes and that nesprins function as nuclear cargo adaptors. The importance of achieving and maintaining proper nuclear position is not restricted to muscle fibers, suggesting that the nesprin-dependent recruitment of kinesin-1 to the nuclear envelope through the interaction of a conserved LEWD motif with kinesin light chain might be a general mechanism for cell-type-specific nuclear positioning during development.

Probing Lipid Vesicle Transport in 3D by Teams of Myosin Va Motors at Suspended Actin Intersections in vitro

In cells, myosin Va motor teams are forced to transport vesicles through a complex three-dimensional (3D) actin meshwork. To characterize how these motors navigate this physically challenging meshwork, we created actin filament intersections adhered to a coverslip surface and confronted a team of ∼10 myosin Va HMM motors carrying a 350nm synthetic lipid vesicle. When approaching the intersection on the lower filament, the motor-vesicle complex (MVC) switched to the upper intersecting filament with a 51% probability while crossing over the intersection with only a 33% probability. If approaching the intersection on the upper filament, the MVC preferred staying on the upper filament through the intersection and only switched to the lower filament with a 31% probability. These data suggest that the extent of MVC surface contact with the target binding zone of the intersecting actin filaments dictates the directional outcome. To build complexity, actin filaments were strung between 3μm beads, creating suspended filament intersections. The 3D spatial relations between the MVC and the individual filaments were determined by super-resolution STORM imaging. As the MVC approached the intersection, the complex spiraled around the actin filament with a pitch of ∼1.3µm. If the MVC was forced to navigate through the intersection and the separation between actin filaments (<100nm) was less than the vesicle diameter, the MVC initially paused and then switched to the intersecting filament. For this to occur, motors must be free to diffuse on the fluid lipid (DOPC) vesicle surface and engage an actin filament anywhere that the vesicle surface contacts an actin filament. This 3D model system with added complexity will provide an experimental platform to understand how myosin Va motor ensembles maneuver their cargo through the complex actin cytoskeletal network.

Nesprins anchor kinesin-1 motors to the nucleus to drive nuclear distribution in muscle cells.

During skeletal muscle development, nuclei move dynamically through myotubes in a microtubule-dependent manner, driven by the microtubule motor protein kinesin-1. Loss of kinesin-1 leads to improperly positioned nuclei in culture and in vivo. Two models have been proposed to explain how kinesin-1 functions to move nuclei in myotubes. In the cargo model, kinesin-1 acts directly from the surface of the nucleus, whereas in an alternative model, kinesin-1 moves nuclei indirectly by sliding anti-parallel microtubules. Here, we test the hypothesis that an ensemble of Kif5B motors acts from the nuclear envelope to distribute nuclei throughout the length of syncytial myotubes. First, using an inducible dimerization system, we show that controlled recruitment of truncated, constitutively active kinesin-1 motors to the nuclear envelope is sufficient to prevent the nuclear aggregation resulting from depletion of endogenous kinesin-1. Second, we identify a conserved kinesin light chain (KLC)-binding motif in the nuclear envelope proteins nesprin-1 and nesprin-2, and show that recruitment of the motor complex to the nucleus via this LEWD motif is essential for nuclear distribution. Together, our findings demonstrate that the nucleus is a kinesin-1 cargo in myotubes and that nesprins function as nuclear cargo adaptors. The importance of achieving and maintaining proper nuclear position is not restricted to muscle fibers, suggesting that the nesprin-dependent recruitment of kinesin-1 to the nuclear envelope through the interaction of a conserved LEWD motif with kinesin light chain might be a general mechanism for cell-type-specific nuclear positioning during development.

Theme Issue in memory of Tom Duke

This Theme Issue is dedicated to the memory of Tom Duke, who passed away in 2012 at the age of 48. Tom made lasting contributions to a broad range of topics and was highly regarded for his very elegant approaches that unravel key physical principles underlying the function of biological systems.

Motor coupling through lipid membranes enhances transport velocities for ensembles of myosin Va.

Myosin Va is an actin-based molecular motor responsible for transport and positioning of a wide array of intracellular cargoes. Although myosin Va motors have been well characterized at the single-molecule level, physiological transport is carried out by ensembles of motors. Studies that explore the behavior of ensembles of molecular motors have used nonphysiological cargoes such as DNA linkers or glass beads, which do not reproduce one key aspect of vesicular systems--the fluid intermotor coupling of biological lipid membranes. Using a system of defined synthetic lipid vesicles (100- to 650-nm diameter) composed of either 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) (fluid at room temperature) or 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) (gel at room temperature) with a range of surface densities of myosin Va motors (32-125 motors per μm(2)), we demonstrate that the velocity of vesicle transport by ensembles of myosin Va is sensitive to properties of the cargo. Gel-state DPPC vesicles bound with multiple motors travel at velocities equal to or less than vesicles with a single myosin Va (∼450 nm/s), whereas surprisingly, ensembles of myosin Va are able to transport fluid-state DOPC vesicles at velocities significantly faster (>700 nm/s) than a single motor. To explain these data, we developed a Monte Carlo simulation that suggests that these reductions in velocity can be attributed to two distinct mechanisms of intermotor interference (i.e., load-dependent modulation of stepping kinetics and binding-site exclusion), whereas faster transport velocities are consistent with a model wherein the normal stepping behavior of the myosin is supplemented by the preferential detachment of the trailing motor from the actin track.

Stochastic dynamics and mechanosensitivity of myosin II minifilaments

Tissue cells are in a state of permanent mechanical tension that is maintained mainly by myosin II minifilaments, which are bipolar assemblies of tens of myosin II molecular motors contracting actin networks and bundles. Here we introduce a stochastic model for myosin II minifilaments as two small myosin II motor ensembles engaging in a stochastic tug-of-war. Each of the two ensembles is described by the parallel cluster model that allows us to use exact stochastic simulations and at the same time to keep important molecular details of the myosin II cross-bridge cycle. Our simulation and analytical results reveal a strong dependence of myosin II minifilament dynamics on environmental stiffness that is reminiscent of the cellular response to substrate stiffness. For small stiffness, minifilaments form transient crosslinks exerting short spikes of force with negligible mean. For large stiffness, minifilaments form near permanent crosslinks exerting a mean force which hardly depends on environmental elasticity. This functional switch arises because dissociation after the power stroke is suppressed by force (catch bonding) and because ensembles can no longer perform the power stroke at large forces. Symmetric myosin II minifilaments perform a random walk with an effective diffusion constant which decreases with increasing ensemble size, as demonstrated for rigid substrates with an analytical treatment.

Cooperative Effects in Transport Systems Driven by Diffusively Anchored Motors

Intracellular trafficking of membrane-bound organelles is a fundamental process essential to many cellular functions including cell growth and signaling. A variety of such organelles are transported by motor proteins such as kinesins, dyneins and myosins, walking on cellular tracks made of microtubules and actin filaments. Since studying the mechanical and biochemical functioning of these transport systems inside the cell is extremely challenging, transport is often mimicked in-vitro, for example by gliding motility assays. There, cytoskeletal filaments are propelled by motors that are conventionally immobilized on a rigid substrate. In contrast, when transporting membrane-bound organelles inside a cell the motors are diffusively anchored - either directly or via adaptor molecules - to lipid bilayers. Such resulting ‘loose’ coupling may induce motor co-ordination and is likely to change the collective motor dynamics.In this study, we investigate the collective behavior of motor proteins anchored to lipid bilayers. Using truncated kinesin-1 motors with a streptavidin-binding-peptide tag we performed gliding motility assays on streptavidin-loaded biotinylated supported lipid bilayers. Our results suggest a dependence of the microtubule gliding velocity on both, the motor density as well as the microtubule length. Based on measurements of the diffusion constants and the velocity of motors and microtubules, a theoretical model is developed to determine (i) the number of microtubule-attached motors and (ii) the force produced by an ensemble of motors.

An exact approach for studying cargo transport by an ensemble of molecular motors

BackgroundIntracellular transport is crucial for many cellular processes where a large fraction of the cargo is transferred by motor-proteins over a network of microtubules. Malfunctions in the transport mechanism underlie a number of medical maladies.Existing methods for studying how motor-proteins coordinate the transfer of a shared cargo over a microtubule are either analytical or are based on Monte-Carlo simulations. Approaches that yield analytical results, while providing unique insights into transport mechanism, make simplifying assumptions, where a detailed characterization of important transport modalities is difficult to reach. On the other hand, Monte-Carlo based simulations can incorporate detailed characteristics of the transport mechanism; however, the quality of the results depend on the number and quality of simulation runs used in arriving at results. Here, for example, it is difficult to simulate and study rare-events that can trigger abnormalities in transport.ResultsIn this article, a semi-analytical methodology that determines the probability distribution function of motor-protein behavior in an exact manner is developed. The method utilizes a finite-dimensional projection of the underlying infinite-dimensional Markov model, which retains the Markov property, and enables the detailed and exact determination of motor configurations, from which meaningful inferences on transport characteristics of the original model can be derived.ConclusionsUnder this novel probabilistic approach new insights about the mechanisms of action of these proteins are found, suggesting hypothesis about their behavior and driving the design and realization of new experiments.The advantages provided in accuracy and efficiency make it possible to detect rare events in the motor protein dynamics, that could otherwise pass undetected using standard simulation methods. In this respect, the model has allowed to provide a possible explanation for possible mechanisms under which motor proteins could coordinate their motion.